July 6, 2021 Machine Learning

Partially View-aligned Representation Learning with Noise-robust Contrastive Loss

2021-CVPR-MvCLN This repo contains the code and data of the following paper accepted by CVPR 2021 Requirements pytorch==1.5.0 numpy>=1.18.2 scikit-learn>=0.22.2 munkres>=1.1.2 logging>=0.5.1.2 Configuration The hyper-parameters, the training options (including the ratiao of positive to negative, aligned proportions and switch time) are defined in the args. part in run.py. Datasets The Scene-15 and Reuters-dim10 datasets are placed in “datasets” folder. The NoisyMNIST and Caltech101 datasets could be downloaded from Google cloud or Baidu cloud with password “rqv4”. Usage After setting the […]

July 6, 2021 Database

A data management and manipulation Python library

Datargsing Datargsing is a data management and manipulation Python library which is currently in deving Why this library is good? This Python library has classes and methods with a detailled documentation directly in you ide (if it supports documentation) and this library is really simple and logical GitHub https://github.com/LTHCTheMaster/Datargsing

July 6, 2021 Machine Learning

Real-time RGBD-based Extended Body Pose Estimation

rgbd-kinect-pose Real-time RGBD-based Extended Body Pose Estimation The output of our module is in SMPL-X parametric body mesh model: Combined system runs at 30 fps on a 2080ti GPU and 8 core @ 4GHz CPU. Build Prereqs: your nvidia driver should support cuda 10.2, Windows or Mac are not supported. Clone repo: Docker setup: Build docker image: run 2 cmds Attach your Azure Kinect camera Check your Azure Kinect camera is working inside Docker container: Enter Docker container: ./run_local.sh from […]

July 6, 2021 Data Visualization

A fast and easy Data Visulaization tool running on python dash

YATA Yata is a fast, simple and easy Data Visulaization tool, running on python dash. The main goal of Yata is to provide a easy way for persons with little programming knowledge to visualize their data easily. Version v1.0yata This is Yata version 1. No way is it expected to work as we expect, it is the bare bones of the full application, you can test it out to get a general idea of how the script will work!. How […]

July 6, 2021 Monitoring

A Prometheus exporter for monitoring & analyzing Grafana Labs’ technical documentation

grafana-docs-exporter A Prometheus exporter for monitoring & analyzing Grafana Labs’ technical documentation This exporter uses git to pull the newest versions of Grafana’s docs from the official repo. It then programmatically builds all the URLs to scrape those pages, just like Hugo does when it builds the actual docs website. These URLs are then scraped, parsed, analyzed, and exposed in Prometheus format. To add these metrics to your own Prometheus instance, just add this job to your prometheus.yml: – job_name: […]

July 6, 2021 Checker

Data Quality Checker in Python

data-quality-checker Data Quality Checker in Python Check the basic quality of any dataset. Sneak Peek Requirements python 3.7 version streamlit 0.60 version pandas numpy matplotlib Usage Description for Local Run Install streamlit and other dependencies as mentioned in Requirements Clone the repository: git clonehttps://github.com/maladeep/palmerpenguins-streamlit-eda.git Run as streamlit run app.py OR Simply run the web app https://data-quality-checker.herokuapp.com/ GitHub https://github.com/maladeep/data-quality-checker

July 6, 2021 Images

Simple Python / ImageMagick script to package images into WAD3s

WADs Out For [The] Ladies Simple Python / ImageMagick script to package images into WAD3s for use as GoldSrc textures. Development mostly focused on Linux, where a native WAD file creator is MIA. wofl input1 [input2 …] output input1 [input2 …] are the input images output is the output WAD filename Example $ ./wofl.py pictures/file.jpg my_wad.wad $ echo $? 0 # success ImageMagick (its executables have to be in the system PATH) GitHub https://github.com/Schlufi/wofl

July 6, 2021 Scrape

mlscraper: Scrape data from HTML pages automatically with Machine Learning

mlscraper mlscraper allows you to extract structured data from HTML automatically with Machine Learning. You train it by providing a few examples of your desired output. It will then figure out the extraction rules for you automatically and afterwards you’ll be able to extract data from any new page you provide. How it works After you’ve defined the data you want to scrape, mlscraper will: find your samples inside the HTML DOM determine which rules/methods to apply for extraction extract […]

July 6, 2021 Text-to-Speech

Towards Fast, Controllable and Lightweight Text-to-Speech synthesis

FCL-Taco2 Block diagram of FCL-taco2, where the decoder generates mel-spectrograms in AR mode within each phoneme and is shared for all phonemes. Training and inference scripts for FCL-taco2 Environment python 3.6.10 torch 1.3.1 chainer 6.0.0 espnet 8.0.0 apex 0.1 numpy 1.19.1 kaldiio 2.15.1 librosa 0.8.0 Training and inference: Step1. Data preparation & preprocessing Download LJSpeech Unpack downloaded LJSpeech-1.1.tar.bz2 to /xx/LJSpeech-1.1 Obtain the forced alignment information by using Montreal forced aligner tool. Or you can download our alignment results, then unpack […]

July 6, 2021 Python

Defining and Calling Python Functions

A function is a self-contained block of code that encapsulates a specific task or related group of tasks. This course will show you how to define your own Python function. You’ll learn when to divide your program into separate user-defined functions and what tools you’ll need to do this. You’ll also learn the various ways to pass data into a function when calling it, which allows for different behavior from one invocation to the next. In this course, you’ll learn: […]

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